Instructions to use duyphu/380bc76e-f068-4938-8563-66819cf1d4af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/380bc76e-f068-4938-8563-66819cf1d4af with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "duyphu/380bc76e-f068-4938-8563-66819cf1d4af") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from duyphu/380bc76e-f068-4938-8563-66819cf1d4af: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/duyphu/380bc76e-f068-4938-8563-66819cf1d4af/resolve/main/adapter_model.bin
- Command line
-
hf download hf://duyphu/380bc76e-f068-4938-8563-66819cf1d4af/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/duyphu/380bc76e-f068-4938-8563-66819cf1d4af/resolve/main/adapter_model.bin
50.4 MB
- Xet hash:
- 105efda8526e27a490fe4433ada36ba14d9302a68dab6199a1b0ae1a5d27240b
- Size of remote file:
- 50.4 MB
- SHA256:
- a69b0ee1d3c06b16040f7836040b334e52a3d05992ac057c5d3a359205448150
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